Based on the thinking of programmatization and proceduralization， this study integrated traditional Chinese medicine （TCM） classic theories with modern knowledge expression technologies to construct a "formula-symptom" syndrome differentiation thinking model centered on "symptom clustering-main syndrome screening-formula adaptation"， and explored the standardization and intelligentization path of TCM syndrome differentiation and treatment. By establishing the mapping relationship model between formulas and syndromes including quantitative weight analysis of chief， deputy， assistant and envoy medicines， designing the logical hierarchical structure of formula-syndrome decision tree （application of three-level decision tree and fuzzy logic）， and formulating the procedural design of four diagnostic methods （structured collection， correlation model， and dynamic correction mechanism）， the standardization and visualization of the syndrome differentiation process are realized. This model can be transformed into the core data set for artificial intelligence training. Through ternary knowledge graph and machine learning algorithms， it can improve the repeatability of syndrome differentiation and the efficiency of diagnosis and treatment， and implement the strategy of "group model + individual modification" to balance the conflict between quantification and individualization. The core value of this model lies in promoting the objectification and precision development of TCM syndrome differentiation and treatment through the integration of traditional syndrome differentiation thinking and modern system science.

Objective: To explore the types and levels of exosomes in cryoprecipitate from donors of different blood types, genders, and age groups, and to preliminarily characterize their specific proteins. Methods: Exosomes were extracted from cryoprecipitate using the polymer precipitation method. The exosomes were identified by particle size analysis, transmission electron microscopy, and Western blot. Finally, the specific proteins CD63, CD81, CD9, Cytochrome C, Syntenin-1, and VLA-4 of exosomes were characterized using Luminex. Results: The purified exosomes exhibited a double-membrane vesicle structure under microscopy, appearing saucer-shaped or as hemispheres with a concave side. They specifically expressed the CD63 and TSG101 proteins, while the endoplasmic reticulum protein Calnexin was not expressed. The particle sizes(nm) of exosomes from blood types A, B, O, and AB were 119.6±47.5, 120.5±47.4, 133.3±54.1 and 103.1±35.3, respectively. Taking the exosomal specific protein CD63 as an example, its expression levels(pg/mL) in cryoprecipitate from female and male donors were 128.22±63.52 and 117.39±40.84, respectively; the expression(pg/mL) levels in the 20-40 and 40-60 age groups were 114.20±37.28 and 131.41±64.98, respectively; and the expression levels(pg/mL) in the four blood types A, B, O, and AB were 109.58±37.79, 127.45±44.46, 131.89±40.59, and 122.29±78.68, respectively. The expression levels of CD63 in exosomes from different blood types, genders, and age groups were similar, with no statistically significant differences (all P>0.05). The distribution of the other five exosomal-specific proteins was also comparable among the normal blood donors. Conclusion: The expression levels of exosomal-specific proteins in cryoprecipitate from normal blood donors are not associated with blood type, gender, and age group.

Objective To evaluate the cost-utility of risdiplam in the treatment of pediatric spinal muscular atrophy （SMA） and analyze changes in patients’ out-of-pocket economic burden under the medical insurance scenarios. Methods A Markov model was developed from the healthcare system perspective to compare the long-term costs and quality-adjusted life years （QALYs） of risdiplam treatment versus conventional therapy. The incremental cost-utility ratio （ICUR） was calculated. One-way sensitivity analysis and probabilistic sensitivity analysis were conducted to assess the robustness of the model. On this basis, health insurance scenarios were simulated to evaluate patients’ individual economic burden. Results Base-case analysis showed that risdiplam treatment generated additional health benefits but substantially increased medical costs. The resulting ICUR did not demonstrate a clear cost-utility advantage under the current willingness-to-pay threshold. Sensitivity analyses indicated that the model results were relatively robust, with drug costs and key utility parameters being the main drivers of economic outcomes. Health insurance scenario analysis demonstrated that increasing reimbursement levels and reducing patient copayment rates could significantly alleviate patients’ financial burden. Conclusion Risdiplam for pediatric SMA faces economic challenges under the current health insurance payment framework in China. However, optimizing health insurance reimbursement policies and developing multi-tiered healthcare security mechanisms may improve its affordability and accessibility.

Objective To establish a brucellosis monitoring and testing technique applicable for the rapid field screening of natural epidemic diseases.Methods A rapid testing technique for Brucella was developed based on a double-antibody sandwich testing model using gradient-variant quantum dots as fluorescent tracers.The sensitivity,linearity,precision,and specificity of the technique were evaluated using suspensions of standard Brucella strains.Methodological comparisons across different sample types were conducted to assess the consistency of the test results.Results The gradient-variant quantum dots detection method was evaluated with standard Brucella strains,exhibiting a sensitivity of 1×103 CFU/mL and a linear correlation coefficient(r)of 0.994(95%CI,0.933-1.055).The maximum coefficient of variation was 12.94%in repeated tests,showing good specificity.A comparative assessment of 305 clinical samples was conducted using the Brucella gradient-variant quantum dots detection method,the Rose Bengal plate agglutination test(RBT),and the serum agglutination test(SAT),yielding a Kappa value of 0.95,indicating almost perfect agreement.Additionally,a comparative assessment of 110 environmental samples collected on-site was conducted using the Brucella gradient-variant quantum dots detection method and quantitative real-time PCR(qPCR).The Kappa values for aerosol collection fluid,surface wipes,and wool samples were all above 0.83,demonstrating near-perfect agreement.For fecal and soil samples,the Kappa values were above 0.62,indicating substantial agreement.Conclusion The Brucella detection method based on gradient-variant quantum dots technology is simple and can be conducted rapidly.The detection method demonstrates high sensitivity,linearity,precision,and specificity.It shows consistent performance in clinical sample testing.It is well-suited for field rapid screening of natural epidemic diseases in field settings and shows good application prospects in the monitoring,prevention,and rapid detection of zoonotic diseases.

Objective To integrate the Timing It Right(TIR)framework with Phase Ⅰ Cardiac Rehabilitation(CR)strategies to develop a staged,individualized rehabilitation protocol for patients after Transcatheter Aortic Valve Replacement(TAVR)and verify its clinical effectiveness.Methods A quasi-experimental study design was employed.A total of 128 TAVR patients admitted to Kunming Yan'an Hospital between January 2023 and December 2024 were selected as participants and randomly assigned via a random number table to either an intervention group(n=64)or a control group(n=64).The control group received routine care,while the intervention group received TIR theory-based Phase Ⅰ cardiac rehabilitation nursing care in addition to routine care.This intervention was implemented across three stages:diagnostic,perioperative,and discharge preparation period.Comparisons were made between the two groups regarding Left Ventricular Ejection Fraction(LVEF),the 6-Minute Walk Test(6MWT)distance,the incidence of Major Adverse Cardiac and Cerebrovascular Events(MACCE),scores across all domains of the China Questionnaire of Quality of Life in patients with Cardiovascular Diseases(CQQC),and patient satisfaction before and after the intervention.Results After the intervention,the intervention group demonstrated significantly higher LVEF and 6MWT results at both discharge and 3 months postoperatively compared to the control group(P<0.05).The incidence of MACCE was significantly lower in the intervention group(4.84％)than in the control group(13.33％).Scores across all CQQC domains and patient satisfaction were significantly superior in the intervention group than in the control group(P<0.05).Furthermore,The length of ICU stay and total hospitalization duration were significantly shorter in the intervention group compared to the control group(P<0.05).Conclusion Phase I cardiac rehabilitation nursing care based on the Timing It Right theory effectively improves cardiac function and exercise tolerance in TAVR patients,reduces the risk of MACCE.

Abstract Migraine is a widespread neurovascular disorder, the pathogenesis of which is closely linked to the release of calcitonin gene-related peptide(CGRP), leading to a significant impairment in patients′ quality of life. CGRP receptor antagonists exert their therapeutic effect by inhibiting the interaction between CGRP and its receptors, thereby preventing migraine attacks. Currently, several agents, including Rimegepant and Ubrogepant, have either received approval from the U. S. Food and Drug Administration or are in advanced stages of clinical trials.These drugs offer multiple advantages, such as the absence of vasoconstrictive effects, a rapid onset of action, and minimal interference with the immune system. Nevertheless, further investigation is necessary to assess their longterm safety, the potential emergence of drug resistance, and the development of individualized treatment protocols.Moreover, the integration of these novel therapies with existing treatment strategies remains a critical area for future research. This review aims to summarize recent national and international scientific advancements to establish a theoretical basis for the application of precision medicine in migraine management.

Mitochondria play a crucial role as organelles,managing several physiological processes such as redox balance,cell metabolism,and energy synthesis.Initially,the assumption was that mitochondria primarily resided in the host cells and could exclusively transmit from oocytes to offspring by a mechanism known as vertical inheritance of mitochondria.Recent scholarly works,however,suggest that certain cell types transmit their mitochondria to other developmental cell types via a mechanism referred to as inter-cellular or horizontal mitochondrial transfer.This review details the process of which mitochondria are transferred across cells and explains the impact of mitochondrial transfer between cells on the efficacy and functionality of cancer cells in various cancer forms.Specifically,we review the role of mitochondria transfer in regulating cellular metabolism restoration,excess reactive oxygen species(ROS)generation,proliferation,invasion,metastasis,mitophagy activation,mitochondrial DNA(mtDNA)inheritance,im-mune system modulation and therapeutic resistance in cancer.Additionally,we highlight the possibility of using intercellular mitochondria transfer as a therapeutic approach to treat cancer and enhance the efficacy of cancer treatments.

Knee osteoarthritis is a common joint disease within osteoarthritis,characterized by pain,swelling,and limited functionality as the main clinical manifestations.In severe cases,it affects daily life and falls under the category of"impediment syndrome"or"bone impediment"in TCM.The author believes that the theory of"bones,tendons,and muscles"is closely related to this disease.Treatment should focus on simultaneously nourishing the liver,spleen and kidneys,considering tendons,bones and muscles,while also dispelling wind,cold and dampness.The clinical application of Sanbi Decoction has shown good efficacy,and this discussion aimed to provide ideas for the diagnosis and treatment of knee osteoarthritis.

Generative Artificial Intelligence ishows a broad application prospect in the field of healthcare and has become an important technical means to promote the development of medical informatization.It addresses the multi-faceted challenges of medical record documentation,including efficiency,quality,and doctor-patient communica-tion.It analyzes the adaptability and feasibility of Generative Artificial Intelligence in different clinical scenarios of intelli-gent medical record generation.Additionally,it explores the issues present in current applications and proposes corre-sponding solutions,providing references for the effective application and continuous optimization of Generative Artifi-cial Intelligence in medical record documentation.This provides a theoretical foundation for further expanding the appli-cation scenarios of automatic medical record documentation in China's healthcare industry.

Under the background of rapid development of artificial intelligence(AI),this paper systematically proposes AI-based education(AIBE).It empowers the teaching process,learning process,research process,and teaching management with AI,and constructs an AI-based educational paradigm,including AI-based teaching(AIBT),AI-based learning(AIBL),AI-based re-search(AIBR),and AI-based management(AIBM).Taking the AI course of immunology teaching as an example,this paper deeply analyzes the practices and explorations of implementing AIBT,AIBL,AIBR and AIBM based on the AI course,so as to accelerate the promotion of the transformation of the fourth generation of medical education.